import time
import numpy as np
import pymysql
import pandas as pd

class MysqlUtils(object):
    def __init__(self) -> None:
        self.conn = pymysql.connect(
            host='127.0.0.1',
            user='root',
            password='123456',
            database='mlc',
            port=3306,
            charset='utf8mb4'
        )

    def get_data(self):
        cursor = self.conn.cursor(cursor=pymysql.cursors.DictCursor)
        sql = """
        SELECT t.tourist_agency_name, rel.id_no, LEFT(rel.id_no, 2) as province_code, DAYOFWEEK(gate.create_time) as non_weekend, 
        cast(substring(rel.id_no, 7, 4) as unsigned) as age FROM ticket_order_user_rel rel 
        JOIN ticket_order t on t.id = rel.order_id 
        JOIN order_user_gate_rel gate on gate.ticket_rel_id = rel.id
        WHERE t.tourist_agency_name != '' and t.pay_time != ''
        """
        cursor.execute(sql)
        ret = cursor.fetchall()
        df = pd.DataFrame(ret)
        #print(df.head)  
        df['non_weekend'] = df['non_weekend'].apply(lambda x: 1 if x not in [1,7] else 0)
        
        df['valid_id'] = df['id_no'].apply(lambda x : 1 if x and str(x).strip() != ''else 0)
        #计算有记录的老年人及外省游客
        df['elderly_ratio']= df.apply(
            lambda x : 1 if (x['valid_id'] and 2025-x['age'] > 60) else 0 if x['valid_id'] else np.nan,
            axis=1
        )
        df['out_province_ratio'] = df.apply(
            lambda x : 1 if (x['valid_id'] and x['province_code'] != '44') else 0 if x['valid_id'] else np.nan,
            axis=1
        )
        #print(df.head)
        #分组聚合计算占比
        result = df.groupby(['tourist_agency_name']).agg(
            total_visitors=('id_no','count'),#总游客数
            valid_visitors=('valid_id','sum'),#有效身份证游客数
            out_province=('out_province_ratio','sum'),#外省人数（仅有效id)
            elderly=('elderly_ratio','sum'),#老年人游客人数(仅有效id)
            non_weekend_ratio=('non_weekend','mean'),#非周末占比
        ).reset_index()
        #计算实际比例
        result['out_province_ratio'] = result['out_province']/ result['valid_visitors'].replace(0, np.nan)
        result['elderly_ratio']= result['elderly']/result['valid_visitors'].replace(0, np.nan)
        #清除中间列
        result = result.drop(['out_province', 'elderly'], axis=1)
        # print(result.head)
        result['out_province_ratio'] = result['out_province_ratio'].fillna(0)
        result['elderly_ratio']= result['elderly_ratio'].fillna(0)
        #print(result.head)
        result.to_csv('scenic_data.csv')

if __name__ == '__main__':
    mu = MysqlUtils()
    mu.get_data()